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Multivariate analysis

Most popular at the top

  • Quantile Regressionby Roger Koenker; Andrew Chesher; Matthew Jackson

    Cambridge University Press 2005; US$ 32.00

    Quantiles provide a natural description of statistical variability in diverse populations; quantile regression offers a unified statistical methodology for studying how these measures of diversity depend upon other influences. more...

  • Spatiotemporal Data Analysisby Gidon Eshel

    Princeton University Press 2011; US$ 85.00

    A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to answer important questions like these is to analyze the spatial and temporal characteristics--origin, rates, and frequencies--of these phenomena. This comprehensive text introduces advanced undergraduate students, graduate students, and researchers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields, including climate science, geophysics, ecology, astrophysics, and medicine. Gidon Eshel begins with a concise yet... more...

  • Categorical Data Analysisby Alan Agresti

    John Wiley & Sons, Inc. 2003; US$ 161.00

    Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference "A 'must-have' book for anyone expecting to do research and/or applications in categorical data analysis." – Statistics in Medicine on Categorical Data Analysis , First Edition The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and students, this new edition of the classic Categorical Data Analysis offers a comprehensive introduction... more...

  • Methods of Multivariate Analysisby Alvin C. Rencher

    John Wiley & Sons, Inc. 2003; US$ 170.00

    Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually. Multivariate analysis enables researchers to explore the joint performance of such variables and to determine the effect of each variable in the presence of the others. The Second Edition of Alvin Rencher's Methods of Multivariate Analysis provides students of all statistical backgrounds with both the fundamental and more sophisticated skills necessary to master the discipline. To illustrate multivariate... more...

  • Independent Component Analysisby Aapo Hyvarinen; Juha Karhunen; Erkki Oja

    John Wiley & Sons, Inc. 2004; US$ 160.00

    A comprehensive introduction to ICA for students and practitioners Independent Component Analysis (ICA) is one of the most exciting new topics in fields such as neural networks, advanced statistics, and signal processing. This is the first book to provide a comprehensive introduction to this new technique complete with the fundamental mathematical background needed to understand and utilize it. It offers a general overview of the basics of ICA, important solutions and algorithms, and in-depth coverage of new applications in image processing, telecommunications, audio signal processing, and more. Independent Component Analysis is divided into four sections that cover: * General mathematical concepts utilized in the book * The basic ICA model... more...

  • Semiparametric Regressionby David Ruppert; M. P. Wand; R. J. Carroll; R. Gill; B. D. Ripley; S. Ross; M. Stein; D. Williams

    Cambridge University Press 2003; US$ 46.00

    Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. more...

  • Applied Latent Class Analysisby Jacques A. Hagenaars; Allan L. McCutcheon

    Cambridge University Press 2002; US$ 46.00

    Applied Latent Class Analysis introduces several recent innovations in latent class analysis to a wider audience of researchers. Many of the world's leading innovators in the field of latent class analysis have contributed essays to this volume, each presenting a key innovation to the basic LCM. more...

  • Multivariate Statistical Analysisby Narayan C. Giri

    Marcel Dekker Inc 2003; US$ 99.95

    The second edition of this text adds topics in properties and characterization of symmetric distribution, elliptically symmetric multivariate distributions, singular symmetric distributions, estimation of covariance matrices, tests of mean against one-sided alternatives and more. more...

  • Regression Analysis of Count Databy A. Colin Cameron; Pravin K. Trivedi; Peter Hammond; Alberto Holly

    Cambridge University Press 1998; US$ 38.00

    Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as visits to a doctor. This analysis provides the most comprehensive and up-to-date account of models and methods to interpret such data. more...

  • Order Statisticsby Herbert A. David; H. N. Nagaraja

    John Wiley & Sons, Inc. 2004; US$ 153.00

    A completely revised and expanded edition of a classic resource In the over twenty years since the publication of the Second Edition of Order Statistics, the theories and applications of this dynamic field have changed markedly. Meeting the challenges and demands of today’s students and research community, authors H. A. David and H. N. Nagaraja return with a completely revised and updated Order Statistics, Third Edition. Chapters two through nine of this comprehensive volume deal with finite-sample theory, with individual topics grouped under distribution theory (chapters two through six) and statistical inference (chapters seven through nine). Chapters ten and eleven cover asymptotic theory for central, intermediate, and extreme order... more...